Generative AI and Agents
Generative AI Groundedin Your Enterprise Data, Not Public Guesswork.
Generic AI tools do not know your policies, your data model or your customers. We build domain specific generative AI solutions and agents that are grounded in your enterprise data, with guardrails and human oversight designed in from the start rather than added afterward.
Grounded in Your Data
Not generic public knowledge
Guardrails by Design
Controls built in, not bolted on
Human Oversight
Judgment stays where it belongs
Useful Answers, Kept Accountable
Enterprise Experience
Collaborating with forward-thinking organizations across industries.
What is a generative AI agent, and how is it different from a chatbot?
A generative AI agent is a system that can take multi-step action toward a goal, such as retrieving information, calling other systems and proposing or executing next steps, rather than only answering a single question. A chatbot typically responds to one prompt at a time. An enterprise agent needs to be grounded in trusted internal data, constrained by clear guardrails on what it can and cannot do, and positioned so a person can review or override its actions where the stakes are high.
Where We Help
Generative AI Built for Enterprise Trust
Not sure which of these you need? Describe the problem and a specialist will tell you where to start.
Talk to a Specialist- 01
Domain-Specific Knowledge Assistants
Ground generative AI in your own documentation, policies and data so answers are relevant and defensible.
- 02
Autonomous and Assisted Agents
Design agents that take action within clearly defined boundaries, escalating to a person when needed.
- 03
Guardrails and Responsible AI Controls
Build in access controls, review steps and monitoring so agent behavior stays within approved limits.
- 04
Agents Inside Your CRM and Service Tools
Bring generative AI and agents into the platforms your teams already use every day.
Frequently Asked Questions
Common Questions
We ground responses in your verified enterprise data rather than relying on the model's general knowledge alone, and we build review steps for higher risk actions so incorrect or low confidence outputs are caught before they cause harm.
This depends on the use case, but typically includes your internal documentation, policies, product and customer data, and relevant records from systems like SAP, Salesforce or ServiceNow, always subject to the access controls already in place for that data.
The goal is to remove repetitive lookup and drafting work, not judgment. Agents are scoped to handle well defined tasks reliably, while decisions with meaningful consequences are routed to a person for review.
Both are possible. Some agents are read only and simply retrieve and summarize information. Others are authorized to take defined actions, such as updating a record, within limits your team sets and can audit.
Let's Ground Generative AI in Your Data.
Share your use case and we will help you design a secure, well governed generative AI or agent solution.
- Ground
- Guard
- Oversee